Search

Background: Cardiovascular disease is the most common cause of mortality worldwide. Hence, awareness of cardiovascular risk factors is an essential step towards effective reduction of the disease burden. This study determined the knowledge and prevalence of cardiovascular risk factors among Staff of Ekiti State University. Ado-Ekiti, Nigeria. Methods: A cross-sectional study which comprised of 223 members of staff. Results: There were 103 males (46.2%). Low knowledge of heart disease risk factors was found in 68.6% of the respondents. The prevalence of hypertension, diabetes mellitus, overweight, obesity, physical inactivity was 35.4%, 12.1%, 31.8%, 23.3%, and 83% respectively. Family history of hypertension was a predictor of a high level of knowledge. Conclusion: A low level of knowledge and increasing prevalence of cardiovascular risk factors existed among staff of Ekiti State University, Nigeria. Hence, there should be a step-up of awareness campaigns and promotion of healthy lifestyle among this category of people. [ABSTRACT FROM AUTHOR]

Gold mining in Mali contributes significantly to the country's socio-economic growth, employing hundreds of people and generating considerable export revenues and income. At the same time, gold mining still has a bad reputation in public opinion due to the environmental and socio-economic challenges it poses. It is therefore important to integrate Mali's gold mining sector into a framework of social responsibility, using the Social Life Cycle Assessment (S-LCA) approach to identify and understand social opportunities and challenges. This study focuses on an application of the S-LCA approach to assess the social performance of industrial gold mining in Mali. Primary data were collected from company representative, workers and local communities. The results of the study show that in 85.2% of ratings, the company has at least good performance and poor performance in 14.8% of ratings. The results show also that the excessive working hours, corruption, sexual harassment and discrimination are identified as social hotspots in the gold mine in Mali. This paper provides a useful literature on the application of S-LCA and for political and administrative decision-makers in the sector to promote fact-driven policies for socially profitable gold mining. Further research would be useful to address the hotspots identified, particularly with regard to the effective management of labor and the prevention of corruption and sexual harassment., (© The Author(s) 2025. Published by Oxford University Press on behalf of the Society of Environmental Toxicology and Chemistry. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Introduction: Metabolic syndrome (MetS) is a complex cluster of metabolic abnormalities characterized by central obesity, dyslipidemia, hypertension, and impaired glucose metabolism. Emerging evidence suggests a potential link between uric acid levels and MetS, and commercial drivers are exposed to unique occupational hazards that may predispose them to MetS and hyperuricemia., Objectives: The objective of this study was to determine the prevalence of MetS and its relationship with serum uric acid among commercial drivers in Ado-Ekiti, Nigeria., Materials and Methods: A cross-sectional study was conducted among commercial drivers in Ado-Ekiti. Relevant information was obtained with a questionnaire, and anthropometry and blood pressure were measured. Fasting plasma glucose and lipid profiles were determined by the standard protocol. MetS was determined with the harmonized criteria. Bivariate correlation and Chi-square were used to determine the relationship between serum uric acid and MetS and its components., Results: There were 106 participants with a median age (interquartile range) of 50 (11) years, with no difference between those with or without MetS. More than 70% of the participants drank alcohol and 75 (70.8%) participants had hyperuricemia. There was no significant correlation between serum uric acid and components of MetS. The prevalence of MetS among all the participants was 21.7% (23/106), with no difference among men with normal uric acid (25.8%) and those with elevated uric acid (20.0%), P = 0.509. Similarly, there was no statistical difference in the prevalence of the components of MetS between the two groups., Conclusions: The prevalence of MetS among the commercial drivers was high, with no difference among men with or without hyperuricemia. Given the importance of this group of people, a system-level public health approach should be adopted to promote a healthy lifestyle to save the lives of the populace., (Copyright © 2024 Copyright: © 2024 Annals of African Medicine.)

Background: Cardiovascular diseases (CVDs) are the leading causes of morbidity and mortality worldwide. Alanine aminotransferase (ALT) is associated with hypertension and obesity., Objectives: To determine the association between ALT within the reference range with hypertension and obesity., Methods: This study utilized the data of a cross-sectional health survey involving 558 adult participants. Anthropometry, blood pressure, and plasma glucose were determined with standard protocols. Quartiles of log-transformed ALT were generated and the association with obesity/hypertension was determined with ANOVA and regression analysis., Results: There were 205 (36.7%) men. The mean fasting plasma glucose (FPG) of all participants was 4.7 (1.6) mmol/L. In men, there was a positive correlation between ALT and body mass index (BMI) (r=0.148; p=0.038), waist circumference (WC) (r=0.166; p=0.020), and waist-to-height-ratio (WHtR) (r=0.163; p=0.021). No correlation was observed between ALT and anthropometric indices in women, or with blood pressure indices in both genders. In men, only WHtR (p for trend, 0.045) was significantly associated with ALT quartiles, whereas in women, only WC (p for trend, 0.028) was significantly associated with ALT quartiles. In men, compared to 1st quartile, the OR for general obesity of the 4th quartile of Log ALT was 2.662 (95% CI 1.219 - 5.816; p=0.014). In women, the OR for hypertension of the 3rd quartile of Log ALT versus the 1st quartile was 1.955 (95% CI 0.694 - 2.416; p=0.041). Log ALT did not predict hypertension and obesity in men and women, respectively., Conclusions: The risks of obesity and hypertension increase as the ALT level increases within the normal ALT range. People with normal levels of ALT in the upper limits need to be evaluated for metabolic disorders., Competing Interests: The Authors declare that no competing interest exists, (Copyright © 2023 by West African Journal of Medicine.)

Objective: Neck circumference (NC) is a novel tool for diagnosing cardiometabolic disorders. We aimed to determine the NC cut-off for obesity and metabolic syndrome (MS) prediction in Nigeria., Methods: The current study was based on data analysis of 557 staff and students of Ekiti State University/Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria, who took part in a cross-sectional health screening (August-December 2018). Body mass index (BMI), waist circumference (WC), WHpR (waist-to-hip ratio), WHtR (waist-to-height ratio), systolic and diastolic blood pressure (SBP, DBP) values were determined by standard protocol. Fasting glucose and lipid profile were assayed for, and MS was defined by the harmonized criteria. The predictive ability of NC to identify people with obesity and MS was determined with receiver operating characteristic (ROC) curves., Results: In both men and women, NC had positive correlation (P<.001) with age, weight, BMI, WC, WHpR, WHtR, SBP and DBP. In men and women, the AUC of NC for all the anthropometric indices were significant (P<.0001). In men, the NC cut-off was 37cm for WHpR, 37.5cm for both BMI and WHtR, 38.3cm for WC, and 40.0cm for MS. In women, the NC cut-off for all the anthropometric indices (except WHpR) and MS was 33cm. In men, NC was as good as other obesity indices in predicting MS (P>.05 for differences in the AUC), but was inferior to BMI, WC and WHtR in women., Conclusions: NC correlates with indices of adiposity and can serve as an alternate index for obesity and MS detection in Nigerians., Competing Interests: Competing Interests: None declared., (Copyright © 2021, Ethnicity & Disease, Inc.)

Introduction: metabolic syndrome portends an increased risk of cardiovascular events and death. Evidence showed that healthcare workers are at higher risk of cardiovascular events because of their engagement in night-shift work. Therefore, this study determined the association between metabolic syndrome and healthcare work status in Ekiti State, Nigeria., Methods: this was a cross-sectional study involving 105 healthcare workers and 143 non-healthcare workers. The diagnosis of metabolic syndrome was made based on the International Diabetic Federation criteria: abdominal obesity plus, any two of: elevated blood pressure ≥ 130/85 mmHg or previous diagnosis of hypertension on the use of antihypertensive medications; impaired fasting glucose; elevated triglycerides; and low HDL-cholesterol. Factors associated with metabolic syndrome were analysed using univariable and multivariable analysis., Results: men comprised 37.9% of the study population and the mean age was 42.1 ± 9.7 years. The prevalence of metabolic syndrome was similar in both groups (HCWs-29.5% vs non-HCWs- 28.0%, p-value=0.789); overall prevalence was 28.6%. Abdominal obesity, elevated total cholesterol and elevated LDL-cholesterol occurred more frequently in HCWs than in non-HCWs: (68.6% vs 55.2%, p-value=0.034; 65.7% vs 39.2%, p-value= < 0.001 and 50.5 vs 28.7%; p-value < 0.001) respectively. Female sex (aOR: 3.67, 95% CI: 1.74-7.45; p < 0.001) and obesity (aOR: 4.39, 95% CI: 2.31-8.37; p < 0.001) were associated with metabolic syndrome., Conclusion: a similar prevalence of metabolic syndrome was observed in the healthcare workers and the non- healthcare workers. However, abdominal obesity, elevated total cholesterol and elevated LDL-cholesterol occurred more frequently in healthcare workers than in non- healthcare workers., Competing Interests: The authors declare no competing interests., (Copyright: Bolade Folasade Dele-Ojo et al.)

Background: Triglyceride-glucose (TyG) index, a product of triglyceride and fasting plasma glucose, is a novel tool that can identify people with metabolic syndrome (MS). It is unknown if TyG index can identify MS among Nigerians. Methods: Cross-sectional health screening conducted between August and December 2018, among staff and students of Ekiti State University/Ekiti State University Teaching Hospital, Nigeria, Ado-Ekiti. The analysis included 473 participants, aged ≥18 years. Anthropometric indices and blood pressure were measured by standard protocol. Fasting lipid profile and blood glucose were determined. TyG index and product of TyG and anthropometric indices were calculated, and MS defined according to the harmonized criteria. The diagnostic ability of TyG index and related parameters to identify people with MS was determined with the area under curve (AUC) of receiver operating characteristic curves. Stepwise logistic regression analyses were used to generate odd ratios (ORs) for prediction of MS. Results: The mean age of the participants was 39.2 (11.4) years and there were 173 (36.6%) men. In all participants, TyG-waist to height ratio (TyG-WHtR) shows the largest AUC for MS detection (0.863, 95% confidence interval, CI: 0.828-0.892) followed by TyG-waist circumference (TyG-WC) (0.858, 95% CI: 0.823-0.888), TyG-body mass index (TyG-BMI) (0.838, 95% CI: 0.802-0.870), TyG index (0.796, 95% CI: 0.757-0.831), WHtR (0.791, 95% CI: 0.752-0.827), and TyG-waist-to-hip ratio (TyG-WHpR) (0.771, 95% CI: 0.730-0.808) in that order. Gender analysis revealed that TyG-WC and TyG-WHtR have largest AUC in both genders. Before and after adjustment, TyG-WHtR (OR: 6.86, 95% CI: 3.94-11.93) and TyG index (OR: 5.91, 95% CI: 3.01-11.59) presented the highest OR in all participants, respectively. Conclusions: TyG index is effective in identifying MS in this cross-sectional study, and the product of TyG index and anthropometric indices improved identification and prediction of MS.

Introduction: There has been an increase in the global prevalence of diabetic polyneuropathy and research evidence suggests that insulin resistance plays an important role in its development and prognosis. However, there seem to be a dearth of information in understanding the likely interplay between beta endorphin, insulin resistance and pain perception especially in the setting of painful diabetic neuropathy., Method: This study recruited 120 volunteers divided into four groups (30 per group): group 1 healthy volunteer (control); group 2 DM type 2 without neuropathy (DM group); group 3 DM type 2 with painful neuropathy (DPN group); group 4 DM type 2 without painful neuropathy (DN). All subjects were evaluated for pain threshold and neuropathy using an ischemia-induced pain model and biothesiometer respectively. Their beta-endorphin, glycated hemoglobin, fasting plasma insulin, and HOMA values were determined and means compared using ANOVA., Result: Serum beta-endorphin is significantly reduced in DN and DPN (∗p < 0.001) compared with the control and DM group. Also, DPN and DN patients have significantly increased insulin resistance compared to those without neuropathy (∗p < 0.001; ∗p < 0.0001 respectively). There is a significant positive correlation between the pain threshold and beta-endorphin in all the groups except DN group. The correlation between beta-endorphin and insulin resistance was negative and significant in control and DM groups only. Suggestive that the fact that insulin resistance plays an important role in diabetes polyneuropathy, does not alone explain the chronic pain perception noticed in the DPN patients., Conclusion: The present study demonstrates that diabetic neuropathy patients have a poor endogenous opioid peptide system which is associated with increased pain perception and high insulin resistance. However, insulin resistance alone does not explain the chronic pain perception noticed in the DPN patients. Thus, further study is required., (© 2020 The Authors.)

The outlook of chronic kidney disease (CKD) is worse among the poor sub-Saharan Africa populace due to limited and unaffordable renal replacement therapy. Regular screening of at-risk population can contribute to delaying or even preventing the progression of the disease. This study was designed to evaluate prevalent risk factors for CKD among the urban dwelling civil servants in Ado Ekiti. This is a cross-sectional observational study involving healthy adults above 18 years old. Data on sociodemographic and relevant lifestyle pattern such as smoking, alcohol intake, personal and family history of hypertension, diabetes, and kidney disease were obtained. Clinical variables such as anthropometric measurements, blood pressure (BP), and blood samples for laboratory investigations were taken. There were 122 participants with a mean age of 47.26 ± 5.62 years. About half of them earn <$140/month. Fifty-two (42.6%) individuals admitted taking local herbs and/or Chinese medicines and about a third (36.1%) use unprescribed medi-cations including nonsteroidal anti-inflammatory drugs. Family history of high BP and diabetes mellitus was present in 15.6% and 11.5% of individuals, respectively. We found 45 (32.6%) individuals with body mass index ≥30 kg/m 2 , while 13.3% and 3.3% have at least 1+ of dipstick and microalbuminuria, respectively. About one-third (25.4%) were either found to be hypertensive or were on antihypertensives, while 12 (9.8%) were either diabetic or had hyperglycemia during the screening. There is a high prevalence of risk factors for CKD among these apparently well individuals. Regular screening, and treatment of the identified risk factors is recommended.

Background: The heightened cardiovascular risk associated with metabolic syndrome (MetS) has been documented by several researchers. The Framingham risk score (FRS) provides a simple and efficient method for identifying individuals at cardiovascular risk. The objective was to describe the prevalence of MetS and its association with FRS in predicting cardiovascular disease among a cohort of semi-urban women; Method: Clinical and laboratory parameters were evaluated among 189 healthy women. The International Diabetes Federation definition was used to diagnose metabolic syndrome. FRS was calculated for each participant; Result: About two thirds of the participant make less than $US 90 per month. The mean systolic blood pressure was 131.80 ± 30. Eighty (42.3%) participants were overweight with a mean waist circumference of 91.64 ± 11.19 cm. MetS was present in 46 (24.3%). Individuals with MetS were more likely to have increased FRS, p = 0.012. One hundred and eighty seven (98.9%) were in the low risk category according to FRS. There was a significant difference in the mean FRS between participants with and without MetS (13.52 versus 10.29 p = 0.025); Conclusion: Prevalence of MetS in this study was comparable to the global rate, despite a low economic status. Individuals with MetS were more likely to have cardiovascular disease than persons without MetS, thus emphasizing the need for risk stratification and prompt management.

This study aims at identifying predictors of asymptomatic bacteriuria (AB) among pregnant women in a low-resource setting, with the intent of recommending a guideline for screening during antenatal care. A total of 266 healthy pregnant women were antenatally recruited after informed consent. They had routine antenatal investigations, a 1 h 50-g oral glucose tolerance test and quantitative urine culture and sensitivity. The data collected were analysed using statistical software package SPSS v. 17. Prevalence of AB was 23 (8.6%). Escherichia coli was the commonest isolate (6, 26.1%), closely followed by Staphylococcus aureus (5, 21.7%). AB was commoner among patients aged 25-34 years, of low parity and higher education. Blood group B- rhesus-positive significantly predicts the likelihood of developing AB in pregnancy (adjusted OR: 0.36; 95% CI: 0.14-0.96). We conclude that blood group B-rhesus-positive in association with other patients' characteristics, such as age 25-34 years, low parity and higher education could form guidelines for a screening algorithm in our environment.